code: def test_predict_mean_and_var__negative(
      setup: LikelihoodSetup,
  ) -> None:
      # We expect the negative parameter values to be clamped to the same value, so output should be
      # constant:
      mu, var = setup.likelihood.predict_mean_and_var(
          Datum.X_negative, Datum.Fmu, Datum.Fvar
      )
      assert_constant(mu, axis=-2)
      assert_constant(var, axis=-2)
  
imports: from dataclasses import dataclass
  from typing import Any
  import numpy
  import pytest
  import tensorflow
  from check_shapes import ShapeChecker
  from gpflow.functions import Linear
  from gpflow.likelihoods import Beta, Gamma, Gaussian, ScalarLikelihood, StudentT
  from gpflow.utilities import to_default_float
label_desc: Use image node_id 13 for calling a global function with example usage: test_predict_mean_and_var__negative(setup) without return types